Daniel Ricks

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Ricks trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mark J van Rossum
  2. Hugo Liu
  3. Tomas Mikolov

Who trusts Daniel Ricks overall

  1. Prithviraj Ammanabrolu
  2. Shunyu Yao
  3. Matthew J. Hausknecht
  4. Xingdi Yuan
  5. Nancy Fulda
  6. Bartosz Kostka
  7. Tom Zahavy
  8. Khimya Khetarpal

Papers from Daniel Ricks's perspective

Ordered by how strongly the researchers Daniel Ricks trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Et al
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Parsing Natural Scenes and Natural Language with Recursive Neural Networks
  7. DeViSE: A Deep Visual-Semantic Embedding Model
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Linguistic Regularities in Continuous Space Word Representations

Their papers